Data Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+13 more
Job description
Client is seeking experienced Data Engineers to join a high-impact team building next-generation banking platforms.
The team is responsible for developing scalable data pipelines that support Open Banking capabilities, enabling secure integration between Chase accounts and external financial institutions. This is a hands-on engineering role focused on building enterprise-grade data platforms, modernizing data pipelines, and processing large-scale financial datasets.
Responsibilities
- Design, develop, and maintain scalable ETL/data pipelines for enterprise data platforms.
- Build and optimize data ingestion and transformation processes using Spark and PySpark.
- Develop and manage data workflows using Airflow and Control-M.
- Build and maintain Snowflake data warehouse solutions.
- Develop high-performance data processing applications using Java Spark or PySpark.
- Integrate data from multiple internal and external sources into enterprise data lakes.
- Optimize data pipelines for scalability, reliability, and performance.
- Work closely with software engineers, product owners, and business stakeholders in an Agile environment.
- Troubleshoot production data pipeline issues and implement long-term solutions.
- Participate in code reviews and follow engineering best practices.
Requirements
- 5+ years of Data Engineering experience.
- Strong ETL development experience.
- Hands-on experience with Apache Spark / PySpark.
- Snowflake Data Warehouse.
- Apache Airflow.
- AWS Cloud Services.
- Data Lake experience.
- Java Spark or PySpark.
- SQL and data transformation.
- Experience building enterprise-scale data pipelines.
- Agile/Scrum development experience.
Preferred Skills
- Control-M
- High-volume, low-latency distributed systems
- Banking or Financial Services experience
- AWS Certification, * data engineer: 7 years (Required)
- AWS: 5 years (Required)
- Spark: 4 years (Required)
- ETL: 4 years (Required)
Benefits & conditions
3.33.3 out of 5 stars Manhattan, NY 10017 $77 - $83 an hour - Temporary, Contract, Pulled from the full job description
- 401(k)
- Health insurance
- Vision insurance
- Dental insurance, * 401(k)
- Dental insurance
- Health insurance
- Vision insurance
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Data Engineer Salary UK
Making Data Warehouses Fast: A Developer’s Story
Highest Paying Tech Companies for Developers
How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again